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This paper is in the following e-collection/theme issue:

Surveillance Systems (525) Public (e)Health, Digital Epidemiology and Public Health Informatics (1151) Crowdfunding (15) Innovative Methods in Public Health and Surveillance (415) Outbreak and Pandemic Preparedness and Management (1856)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52093, first published .
Computer screen showing "Small Commitment Big Impact" and EPICORE logo for disease surveillance.

Using EpiCore to Enable Rapid Verification of Potential Health Threats: Illustrated Use Cases and Summary Statistics

Using EpiCore to Enable Rapid Verification of Potential Health Threats: Illustrated Use Cases and Summary Statistics

Authors of this article:

Nomita Divi1 Author Orcid Image ;   Jaś Mantero1 Author Orcid Image ;   Marlo Libel1 Author Orcid Image ;   Onicio Leal Neto1, 2 Author Orcid Image ;   Marinanicole Schultheiss3 Author Orcid Image ;   Kara Sewalk3 Author Orcid Image ;   John Brownstein3, 4 Author Orcid Image ;   Mark Smolinski1 Author Orcid Image
Article Authors Cited by (1) Tweetations (5) Metrics

Journals

  1. Khairunnesaand Dr. Pushpalatha K R . Deep Learning Model for Enhanced Surgical Phase Recognition and Tool Detection in Robot Assisted Surgery. International Journal of Emerging Technologies and Innovative Research 2026:145 View